Las redes neuronales artificiales como herramienta para la medición del riesgo crediticio en Colombia
| dc.contributor.apolounab | Serrano Acevedo, María Eugenia [maría-eugenia-serrano-acevedo] | spa |
| dc.contributor.author | Serrano Acevedo, María Eugenia | |
| dc.contributor.cvlac | Serrano Acevedo, María Eugenia [0000292001] | spa |
| dc.contributor.googlescholar | Serrano Acevedo, María Eugenia [es&oi=ao] | spa |
| dc.contributor.orcid | Serrano Acevedo, María Eugenia [0000-0003-3413-0295] | spa |
| dc.coverage.campus | UNAB Campus Bucaramanga | spa |
| dc.coverage.spatial | Colombia | spa |
| dc.date.accessioned | 2023-09-07T14:05:57Z | |
| dc.date.available | 2023-09-07T14:05:57Z | |
| dc.date.issued | 2007 | |
| dc.description.abstract | Objetivo: Diseñar modelos de medición de riesgo de crédito en las modalidades: vivienda, consumo, microcrédito y comercial para el otorgamiento de crédito usando redes neuronales artificiales. | spa |
| dc.description.abstractenglish | Objective: Design credit risk measurement models in the modalities: housing, consumption, microcredit and commercial for the granting of credit using artificial neural networks. | spa |
| dc.description.learningmodality | Modalidad Presencial | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.instname | instname:Universidad Autónoma de Bucaramanga - UNAB | spa |
| dc.identifier.reponame | reponame:Repositorio Institucional UNAB | spa |
| dc.identifier.repourl | repourl:https://repository.unab.edu.co | spa |
| dc.identifier.uri | http://hdl.handle.net/20.500.12749/21764 | |
| dc.language.iso | spa | spa |
| dc.publisher.faculty | Facultad Ingeniería | spa |
| dc.publisher.grantor | Universidad Autónoma de Bucaramanga UNAB | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 2.5 Colombia | * |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | * |
| dc.subject.keywords | Neural networks | spa |
| dc.subject.keywords | Artificial intelligence | spa |
| dc.subject.keywords | Credit systems | spa |
| dc.subject.keywords | Credit | spa |
| dc.subject.keywords | Measurement models | spa |
| dc.subject.keywords | Credit risk | spa |
| dc.subject.lemb | Redes neuronales | spa |
| dc.subject.lemb | Inteligencia artificial | spa |
| dc.subject.lemb | Sistemas de crédito | spa |
| dc.subject.lemb | Crédito | spa |
| dc.subject.proposal | Modelos de medición | spa |
| dc.subject.proposal | Riesgo de crédito | spa |
| dc.title | Las redes neuronales artificiales como herramienta para la medición del riesgo crediticio en Colombia | spa |
| dc.title.translated | Artificial neural networks as a tool for measuring credit risk in Colombia | spa |
| dc.type | Research report | eng |
| dc.type.coar | http://purl.org/coar/resource_type/c_18ws | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
| dc.type.driver | info:eu-repo/semantics/workingPaper | spa |
| dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
| dc.type.local | Informe de investigación | spa |
| dc.type.redcol | http://purl.org/redcol/resource_type/IFI |
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